Dennis Connolly

730 citations
7 papers · 498 indexed · h-index 4
Topics
Natural Language Processing Techniques (3 papers)Topic Modeling (3 papers)Neural Networks and Applications (2 papers)
Journals
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
Partner nations
United States

In The Last Decade

Dennis Connolly

7 papers receiving 432 citations

Peers

Dennis Connolly
Comparison fields: 5 of 33
  • Artificial Intelligence 476
  • Molecular Biology 68
  • Management Science and Operations Research 36
  • Information Systems 30
  • Computer Vision and Pattern Recognition 30
Replace Yusuke Shinyama with:
Yusuke Shinyama United States
John Sterling United States
Daniele Pighin Italy
Vladimir Eidelman United States
Adriana Badulescu United States
Oier López de Lacalle Spain
Markus Dreyer United States
Marta Tatu United States
Andrew Hickl South Korea
Jorn Veenstra Netherlands
Dennis Connolly relative to Yusuke Shinyama United States Yusuke Shinyama's profile →
Citations per field
00.5×2.7×
Yusuke Shinyama · 1×
Citations per year

Countries citing papers authored by Dennis Connolly

Since Specialization
Citations

This map shows the geographic impact of Dennis Connolly's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Dennis Connolly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis Connolly more than expected).

Fields of papers citing papers by Dennis Connolly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dennis Connolly. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Dennis Connolly. The network helps show where Dennis Connolly may publish in the future.

Co-authorship network of co-authors of Dennis Connolly

This figure shows the co-authorship network connecting the top 25 collaborators of Dennis Connolly. A scholar is included among the top collaborators of Dennis Connolly based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dennis Connolly. Dennis Connolly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
#WorkIndexed citations
1 5
2 472
3 1
4
Probabilistic Resolution of Anaphoric Reference
10
5 8
6 1
7 1

About Dennis Connolly

Dennis Connolly is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases, having authored 7 papers that have together received 498 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Artificial Intelligence (476 citations), Management Science and Operations Research (36 citations) and Computer Vision and Pattern Recognition (30 citations). Dennis Connolly has collaborated with scholars based in United States. Frequent co-authors include John D. Burger, John Aberdeen, Marc Vilain and Lynette Hirschman. Their work appears in journals such as Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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